The understanding of metallic magnetism is of fundamental importance for a wide range of technological applications ranging from thin lm disc drive read heads to bulk magnets used in motors and power generation. In this submission for the Gordon Bell Prize we use the power of massively parallel processing (MPP) computers to perform rst principles calculations of large system models of non-equilibrium magnetic states in metallic magnets. The calculations are based on a new constrained local moment (CLM) model that places the recently proposed Spin-Dynamics of Antropov et al. [1] on rm theoretical foundations. The equations of constrained local spin density approximation (constrained LSDA) are solved using the massively parallel locally self-...
The development of quantitative models for radiation damage effects in iron, iron alloys and steels,...
The large-scale Density Functional Theory (DFT) code KKRnano allows one to perform ab initio simulat...
The authors have used the power of massively parallel computers to perform first principles spin dyn...
AbstractWe present an overview of the locally self-consistent multiple scattering (LSMS) method. The...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
Multiscale simulation is a key research tool in the quest for new permanent magnets. Starting with f...
We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic po...
The development of interatomic potentials for magnetic transition metals, and particularly for iron,...
This thesis focus on the magnetic behavior, from single atoms to bulk materials. The materials consi...
The massively parallelized full-potential linearized augmented plane-wave bulk and film program FLEU...
Neste trabalho, apresentamos um metodo baseado no formalismo lmto-asa (combinacao linear de orbitais...
ABSTRACT Multiscale simulation is a key research tool for the quest for new permanent magnets. Start...
Abs t rac t We have developed an approach, based on the LMTO-ASA formalism and the recursion method,...
We present a first-principles approach for the computation of the magnetic Gibbs free energy of mate...
The development of quantitative models for radiation damage effects in iron, iron alloys and steels,...
The large-scale Density Functional Theory (DFT) code KKRnano allows one to perform ab initio simulat...
The authors have used the power of massively parallel computers to perform first principles spin dyn...
AbstractWe present an overview of the locally self-consistent multiple scattering (LSMS) method. The...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
Multiscale simulation is a key research tool in the quest for new permanent magnets. Starting with f...
We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic po...
The development of interatomic potentials for magnetic transition metals, and particularly for iron,...
This thesis focus on the magnetic behavior, from single atoms to bulk materials. The materials consi...
The massively parallelized full-potential linearized augmented plane-wave bulk and film program FLEU...
Neste trabalho, apresentamos um metodo baseado no formalismo lmto-asa (combinacao linear de orbitais...
ABSTRACT Multiscale simulation is a key research tool for the quest for new permanent magnets. Start...
Abs t rac t We have developed an approach, based on the LMTO-ASA formalism and the recursion method,...
We present a first-principles approach for the computation of the magnetic Gibbs free energy of mate...
The development of quantitative models for radiation damage effects in iron, iron alloys and steels,...
The large-scale Density Functional Theory (DFT) code KKRnano allows one to perform ab initio simulat...
The authors have used the power of massively parallel computers to perform first principles spin dyn...